Evidence map›Paper›PMID 36544368›Full record

ArticleWaste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA2023

The eco-efficiency of municipalities in the recycling of solid waste: A stochastic semi-parametric envelopment of data approach.

Maria Molinos-Senante, Alexandros Maziotis, Ramón Sala-Garrido, Manuel Mocholi-Arce

Abstract read
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Article in Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Maria Molinos-SenanteDepartamento de Ingeniería Hidráulica y Ambiental, Pontificia Universidad Católica de Chile, Santiago, Chile.ORCID 0000-0002-9926-8861
Alexandros MaziotisDepartamento de Ingeniería Hidráulica y Ambiental, Pontificia Universidad Católica de Chile, Santiago, Chile.
Ramón Sala-GarridoDepartamento de Matemáticas para la Economía y la Empresa, Universidad de Valencia, Valencia, Spain.
Manuel Mocholi-ArceDepartamento de Matemáticas para la Economía y la Empresa, Universidad de Valencia, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eco-efficiency assessment of municipal solid waste (MSW) suppliers is a useful tool in the transition to a circular economy. Furthermore, it provides evidence of the economic and environmental performance of municipalities that can be used for decision-making and/or elaboration of regulatory policies. In this study, eco-efficiency scores were computed for a sample of 140 Chilean municipalities in the provision of MSW services. In doing so, the stochastic semi-parametric envelopment of data method was applied. It is a novel technique which overcomes the limitations of parametric (stochastic frontier analysis) and non-parametric (data envelopment analysis) methods previously employed to evaluate the eco-efficiency of MSW services. The average eco-efficiency of the 140 assessed municipalities was 0.332 which indicates that they could save 66.8% of their operational costs and recycling the same amount of waste. Moreover, 61.4% of the evaluated municipalities presented an eco-efficiency score which was lower than 0.4, whereas the other municipalities (38.6% of the sample) exhibited an eco-efficiency which raged between 0.4 and 0.80. Hence, none of the municipalities assessed was identified as eco-efficient which, implies that there is room for all municipalities to reduce operational costs in the management of MSW. Population density, tourism and location of the municipality were identified as factors influencing the eco-efficiency of the municipalities in MSW management.

Indexed as

Refuse DisposalWaste ManagementCitiesCosts and Cost AnalysisRecyclingSolid WasteSolid Wastecircular economyEco-efficiencyenvironmental variablesstochastic semi-parametric envelopment of datawaste management

Identifiers

PMID36544368
PMCPMC10170579

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.